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mederrRank  

Bayesian Methods for Identifying the Most Harmful Medication Errors
View on CRAN: Click here


Download and install mederrRank package within the R console
Install from CRAN:
install.packages("mederrRank")

Install from Github:
library("remotes")
install_github("cran/mederrRank")

Install by package version:
library("remotes")
install_version("mederrRank", "0.1.0")



Attach the package and use:
library("mederrRank")
Maintained by
Sergio Venturini
[Scholar Profile | Author Map]
First Published: 2012-10-29
Latest Update: 2023-09-05
Description:
Two distinct but related statistical approaches to the problem of identifying the combinations of medication error characteristics that are more likely to result in harm are implemented in this package: 1) a Bayesian hierarchical model with optimal Bayesian ranking on the log odds of harm, and 2) an empirical Bayes model that estimates the ratio of the observed count of harm to the count that would be expected if error characteristics and harm were independent. In addition, for the Bayesian hierarchical model, the package provides functions to assess the sensitivity of results to different specifications of the random effects distributions.
How to cite:
Sergio Venturini (2012). mederrRank: Bayesian Methods for Identifying the Most Harmful Medication Errors. R package version 0.1.0, https://cran.r-project.org/web/packages/mederrRank. Accessed 04 May. 2025.
Previous versions and publish date:
0.0.5 (2012-10-29 08:59), 0.0.7 (2012-11-17 20:41), 0.0.8 (2015-07-08 00:27)
Other packages that cited mederrRank R package
View mederrRank citation profile
Other R packages that mederrRank depends, imports, suggests or enhances
Complete documentation for mederrRank
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